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Research Paper | Radiology and Medical Imaging Sciences | India | Volume 10 Issue 1, January 2021

Role of Multi Parametric MRI and its Correlation with Histopathology Assumed as Gold Standard for Local Staging of Urinary Bladder Cancer

Dr. Bhagwan Sahay Gupta | Dr. Mukesh Mittal ^[2] | Dr. Kuldeep Mendiratta ^[2] | Dr. Meenu Bagarhatta ^[3]

Abstract: Background: A cross sectional prospective study done to compare sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of different sequences of multi-parametric MRI with histopathological findings assumed as gold standard. Material and methods: sixty patients suspected with bladder cancer either clinically, through urine cytology or using other radiologic investigations including Ultrasonography by using hitachi aloka F 37 and Arietta 50 USG Machine or computed tomography were prospectively included and multi-parametric MRI data was interpreted by using philips ingenia 3 Tesla MRI Machine. Multi-parametric MRI techniques included role of high resolution T2 weighted images (HR T2WI), diffusion weighted MRI (DW-MRI) and dynamic contrast enhanced MRI (DCE-MRI). Accuracy of these techniques was measured separately and in conjunction using histopathological findings as reference gold standard. Results and discussion: Histopathological confirmation for local T staging was performed in 50 patients (83 %) from cystoscopy and biopsy or from transurethral resection of bladder tumors (TURT) and from radical cystectomy in 10 patients (16.6 %). T2W-MRI correctly diagnosed local T stage of UB cancer in 30/60 patients (50 %) while diagnosed 45/60 patients (75 %) with DCE-MRI and 48/60 patients (80 %) with DW-MRI. MP-MRI correctly diagnosed the local T stage in 51/60 patients (85 %). Overall diagnostic accuracy increased from 50 % in T2W to 75 % in DCE-MRI to 80 % in the DW-MRI and to 85 % in the multi -parametric MRI Conclusion: Multi-parametric MRI is a broad and more effective tool for the local T staging of urinary bladder cancers.

Keywords: Urinary Bladder Cancer, Multiparametric MRI, Histopathology

Edition: Volume 10 Issue 1, January 2021,

Pages: 605 - 609

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